Microservices Full Stack Development

200+
Microservices Built
Event-Driven
Architecture
DDD
Domain-Driven Design
From $10/hr
Flexible Pricing

Build distributed, scalable applications with microservices architecture. Our full stack developers specialize in event-driven design, domain-driven patterns, service mesh implementation, and distributed systems that handle millions of requests.

From service decomposition and API gateway design to event sourcing and saga patterns, we deliver microservices architectures that scale independently, deploy continuously, and maintain resilience across distributed environments.

Why Choose Our Microservices Development

Expert full stack developers with deep experience in distributed systems, event-driven architectures, and microservices patterns

Domain-Driven Design

Strategic service decomposition using bounded contexts, aggregate patterns, and ubiquitous language to align architecture with business domains.

Event-Driven Architecture

Asynchronous communication with event sourcing, CQRS patterns, saga orchestration, and event streaming for loosely coupled services.

API Gateway Patterns

Unified entry points with routing, authentication, rate limiting, request transformation, and backend-for-frontend patterns.

Independent Deployments

Containerized services with CI/CD pipelines, blue-green deployments, canary releases, and zero-downtime updates for each microservice.

Distributed Tracing

End-to-end observability with OpenTelemetry, Jaeger, distributed logging, metrics collection, and request correlation across services.

Fault Tolerance

Circuit breakers, retry policies, bulkheads, timeout handling, graceful degradation, and chaos engineering for resilient systems.

Microservices Technology Stack

Modern frameworks, message brokers, and infrastructure tools for building distributed systems

Backend Services

Node.js with Express/Fastify
Go microservices
Java Spring Boot
Python with FastAPI
Rust for performance-critical services

Message Brokers

Apache Kafka for event streaming
RabbitMQ for message queuing
Redis Streams
NATS for lightweight messaging
AWS SQS/SNS

API & Communication

gRPC for inter-service communication
REST APIs with OpenAPI
GraphQL Federation
WebSockets for real-time
tRPC for type-safe APIs

Infrastructure

Docker containerization
Kubernetes orchestration
Istio service mesh
Consul for service discovery
Terraform for infrastructure as code

Flexible Pricing for Every Project

Choose the right experience level for your microservices architecture needs

Junior Developer

From $10/hr
  • Basic service decomposition
  • REST API development
  • Docker container setup
  • Simple message queuing
  • Basic logging setup
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Most Popular

Mid-Level Developer

From $25/hr
  • Event-driven architecture design
  • API gateway implementation
  • Kubernetes orchestration
  • Distributed tracing setup
  • Circuit breaker patterns
  • gRPC communication
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Senior Developer

From $40/hr
  • Domain-driven design architecture
  • Saga pattern implementation
  • CQRS and event sourcing
  • Service mesh configuration
  • Chaos engineering practices
  • Platform architecture design
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Frequently Asked Questions

When should I use microservices architecture?

Microservices are ideal when you need independent scaling, separate deployment cycles, polyglot technology stacks, or when team structures align with service boundaries. They excel in complex domains where bounded contexts are clear, when you expect significant growth, or when different parts of your system have vastly different performance requirements. Consider microservices if you have multiple teams working on different features simultaneously.

What is the difference between microservices and monolith?

A monolith is a single deployable unit where all features are tightly coupled, sharing a single database and runtime. Microservices split the application into independent services, each with its own database, deployment pipeline, and technology stack. Monoliths are simpler to develop initially but harder to scale and modify. Microservices offer flexibility, independent scaling, and faster deployment cycles, but introduce complexity in distributed communication, data consistency, and observability.

How do you handle data consistency in microservices?

We use several patterns: Saga pattern for distributed transactions with compensating actions, eventual consistency with event-driven updates, CQRS to separate read and write models, event sourcing to track all state changes, and outbox pattern for reliable event publishing. We implement distributed tracing to monitor data flow, use idempotent operations to handle retries safely, and design services with clear bounded contexts to minimize cross-service data dependencies.

How do you migrate from a monolith to microservices?

We follow the strangler fig pattern: identify service boundaries using domain-driven design, extract one service at a time starting with the most independent functionality, implement an anti-corruption layer to manage communication between the monolith and new services, use API gateways for routing, gradually migrate data to service-specific databases, and maintain the monolith as a working system throughout the transition. This incremental approach reduces risk and allows continuous delivery during migration.

Ready to Build with Microservices Architecture?

Let our experienced full stack developers design and implement a scalable, resilient microservices platform for your business

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